Coforge Data Scientist Interview Questions
The questions to prepare for a Coforge Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Use PostgreSQL CTEs and ROW_NUMBER to return the top three products by monthly revenue within each category.
CoforgeExplain how to identify, replace, filter, and flag missing values in PostgreSQL using NULL-aware SQL techniques.
CoforgeFind the second highest distinct salary from a single employee table using PostgreSQL ordering and limiting.
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DXC TechnologyAggregate Coforge pipeline log rows to find the highest error counts by source system using GROUP BY and ORDER BY.
CoforgeExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
CoforgeTests exploratory analysis skills to surface meaningful patterns and outliers.
CoforgeDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
CoforgeDefine primary and guardrail metrics for a discovery UI test, with power, MDE, and a pre-registered analysis plan.
CoforgeFramework for diagnosing churn and prioritizing product changes to improve retention in a subscription service.
CoforgeDecide whether a metric drop reflects a real shift or normal variation using hypothesis testing, confidence intervals, and baseline variability.
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